Enci Xue, Xi Chen, Xueheng Wang, Siyue Wang, Mengying Wang, Jin Li, Xueying Qin, Yiqun Wu, Nan Li, Jing Li, Zhibo Zhou, Hongping Zhu, Tao Wu, Dafang Chen, Yonghua Hu
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引用次数: 0
Abstract
Objective: To delve into the intricate relationship between common genetic variations across the entire genome and the risk of non-syndromic cleft lip with or without cleft palate (NSCL/P).
Methods: Utilizing summary statistics data from genome-wide association studies (GWAS), a thorough investigation to evaluate the impact of common variations on the genome were undertook. This involved assessing single nucleotide polymorphism (SNP) heritability across the entire genome, as well as within specific genomic regions. To ensure the robustness of our analysis, stringent quality control measures were applied to the GWAS summary statistics data. Criteria for inclusion encompassed the absence of missing values, a minor allele frequency ≥1%, P-values falling within the range of 0 to 1, and clear SNP strand orientation. SNP meeting these stringent criteria were then meticulously included in our analysis. The SNP heritability of NSCL/P was calculated using linkage disequilibrium score regression. Additionally, hierarchical linkage disequilibrium score regression to partition SNP heritability within coding regions, promoters, introns, enhancers, and super enhancers were employed, and the enrichment levels within different genomic regions using LDSC (v1.0.1) software were further elucidated.
Results: Our study drew upon GWAS summary statistics data obtained from 806 NSCL/P trios, comprising a total of 2 418 individuals from the Chinese population. Following rigorous quality control procedures, 490 593 out of 492 993 SNP were deemed suitable for inclusion in SNP heritability calculations. The observed SNP heritability of NSCL/P was 0.55 (95%CI: 0.28-0.82). Adjusting for the elevated disease pre-valence within our sample, the SNP heritability scaled down to 0.37 (95%CI: 0.19-0.55) based on the prevalence observed in the general Chinese population. Notably, our enrichment analysis unveiled significant enrichment of SNP heritability within enhancer regions (15.70, P=0.04) and super enhancer regions (3.18, P=0.03).
Conclusion: Our study sheds light on the intricate interplay between common genetic variations and the risk of NSCL/P in the Chinese population. By elucidating the SNP heritability landscape across different genomic regions, we contribute valuable insights into the genetic basis of NSCL/P. The significant enrichment of SNP heritability within enhancer and super enhancer regions underscores the potential role of these regulatory elements in shaping the genetic susceptibility to NSCL/P. This paves the way for further research aimed at uncovering novel genetic pathogenic factors underlying NSCL/P pathogenesis.
期刊介绍:
Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases.
The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.